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Transcriptional changes are tightly coupled to chromatin reorganization during cellular aging
Transcriptional changes are tightly coupled to chromatin reorganization during cellular aging
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Transcriptional changes are tightly coupled to chromatin reorganization during cellular aging
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Transcriptional changes are tightly coupled to chromatin reorganization during cellular aging
Transcriptional changes are tightly coupled to chromatin reorganization during cellular aging

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Transcriptional changes are tightly coupled to chromatin reorganization during cellular aging
Transcriptional changes are tightly coupled to chromatin reorganization during cellular aging
Journal Article

Transcriptional changes are tightly coupled to chromatin reorganization during cellular aging

2024
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Overview
Human life expectancy is constantly increasing and aging has become a major risk factor for many diseases, although the underlying gene regulatory mechanisms are still unclear. Using transcriptomic and chromosomal conformation capture (Hi‐C) data from human skin fibroblasts from individuals across different age groups, we identified a tight coupling between the changes in co‐regulation and co‐localization of genes. We obtained transcription factors, cofactors, and chromatin regulators that could drive the cellular aging process by developing a time‐course prize‐collecting Steiner tree algorithm. In particular, by combining RNA‐Seq data from different age groups and protein–protein interaction data we determined the key transcription regulators and gene regulatory changes at different life stage transitions. We then mapped these transcription regulators to the 3D reorganization of chromatin in young and old skin fibroblasts. Collectively, we identified key transcription regulators whose target genes are spatially rearranged and correlate with changes in their expression, thereby providing potential targets for reverting cellular aging. We present a prize‐collecting Steiner tree algorithm to discover key transcription regulators in cellular aging from time‐course RNA‐Seq data. Integrating Hi‐C data, our analysis demonstrates spatial rearrangements among the target genes controlled by these regulators during aging. Our findings suggest a tight coupling between changes in co‐regulation and co‐localization of age‐associated genes, thereby providing potential targets for reverting cellular aging.